- Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716 - Lingfei Wu, Yu Chen, Heng Ji, Bang Liu:
Deep Learning on Graphs for Natural Language Processing. KDD 2021: 4084-4085 - Chang Xu, Siqi Ma, David Lo:
PLP 2021: Workshop on Programming Language Processing. KDD 2021: 4171-4172 - Bohan Zhao, Xiang Li, Boyu Tian, Zhiyu Mei, Wenfei Wu:
DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing. KDD 2021: 2285-2293 - 2020
- Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis:
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP@KDD 2020: 11-17 - Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows. KDD 2020: 1015-1025 - Jin Shang, Mingxuan Sun, Nina Siu-Ngan Lam:
List-wise Fairness Criterion for Point Processes. KDD 2020: 1948-1958 - Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Adam Meyers, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), Virtual Workshop, August 24, 2020. CEUR Workshop Proceedings 2645, CEUR-WS.org 2020 [contents] - 2019
- Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin, Mazen Ibrahim AlZubi:
Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. Int. J. Interact. Mob. Technol. 13(1): 70-84 (2019) - Kilian Vernickel, Judith Weber, Xujia Li, Julia Berg, Gunther Reinhart:
A Revised KDD Procedure for the Modeling of Continuous Production in Powder Processing. IEEM 2019: 340-344 - Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal:
Deep Natural Language Processing for Search and Recommender Systems. KDD 2019: 3199-3200 - Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD 2019: 2838-2847 - Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD 2019: 373-383 - Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng:
System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. BigMine@KDD 2019 - Romain Warlop, Jérémie Mary, Mike Gartrell:
Tensorized Determinantal Point Processes for Recommendation. KDD 2019: 1605-1615 - Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. KDD 2019: 3227-3228 - 2018
- Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. KDD 2018: 1254-1262 - Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD 2018: 2516-2525 - Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen:
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model. KDD 2018: 2692-2700 - Flavio Gomez, Diego Iquira, Ana Maria Cuadros:
Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase. W2GIS 2018: 41-50 - Naima Lounes, Houria Oudghiri, Rachid Chalal, Walid-Khaled Hidouci:
From KDD to KUBD: Big Data Characteristics Within the KDD Process Steps. WorldCIST (2) 2018: 931-937 - 2017
- Matthew Adelsberg, Christian Schwantes:
Binned Kernels for Anomaly Detection in Multi-timescale Data using Gaussian Processes. ADF@KDD 2017: 102-113 - Arda Antikacioglu, R. Ravi:
Post Processing Recommender Systems for Diversity. KDD 2017: 707-716 - Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee:
Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess? KDD 2017: 31-32 - Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo:
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. KDD 2017: 987-995 - Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal:
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. KDD 2017: 495-503 - Tao Wu, David F. Gleich:
Retrospective Higher-Order Markov Processes for User Trails. KDD 2017: 1185-1194 - Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic:
A Data-driven Process Recommender Framework. KDD 2017: 2111-2120 - Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD 2017: 565-574 - 2016
- Mustafa Coskun, Ananth Grama, Mehmet Koyutürk:
Efficient Processing of Network Proximity Queries via Chebyshev Acceleration. KDD 2016: 1515-1524